Data Lake: Harness the untapped potential of your data lake with the power of Teradata VantageCloud.
water Data lakes

Collect, explore, and transform all data to power AI innovation

VantageCloud Lake enables faster time to value with a scalable, low-cost modern data lake for all analytic users.

VantageCloud Lake

With its cloud-native architecture, VantageCloud Lake is designed to run independent elastic workloads using an open data store, designed to ingest, store, explore, and transform unstructured, semi-structured, and structured data.

Explore how VantageCloud Lake enables modern data lakes

Achieve a unified, multi-cloud or hybrid analytics platform for AI with a data lake.

Open data store

Harness all your data in its original format to power data exploration and collaboration.

VantageCloud Lake provides an ideal platform for the exploration and transformation of any type of unstructured, semi-structured and structured data in a logical repository, where data is stored in either open or optimized formats, depending on performance and data temperature.

The data store supports a connected data foundation which consists of layers or zones, that provide different levels of data curation, data reuse with optimized and open storage layers that support architectural flexibility. For example, raw data can be retained in low-cost open table formats for ongoing exploration and analysis while actively used data sets can be enabled on optimized storage to address business performance requirements.

As a layer of the connected data foundation, a data lake eliminates data silos by providing enterprise users with a single source of the truth for discoverable and secured data which can be used to build a trusted data foundation.

  • Raw data is uncurated information collected from various sources, used by Data Engineers for assessment and curation to ensure security and discoverability, while maintaining its original format.
  • Discoverable and secured data: Data products designed for discoverability and security facilitate trusted data utilization for various data science applications, with features for tracking historical changes, ensuring interoperability.

Domains provide Data Products as a shared service

Open data formats

Object storage

Store data from anywhere. VantageCloud Lake enables storage of data in open file formats and open table formats.

Teradata supports an open ecosystem for data stores, catalogs, and cloud service providers (CSPs) in multi-cloud and multi-data lake environments. Open data stores based on industry standards provide the most flexibility for performance and operational access across all users and technologies in the AI ecosystem. By minimizing data movement and reducing complexity, open data stores enable organizations to focus on extracting value from their data, rather than managing it.

  • Open file formats: Connect to raw data in native open file formats including parquet, csv, and json.
  • Open table formats (OTF): Native support for Apache Iceberg and Delta Lake, providing read/write capabilities across OTF formats, clouds, and lakes maintaining robust analytics capabilities all without the need to move or replicate data.
  • Open catalog support: Enables cross-read, cross-write, and cross-query of data stored in a variety of OTFs and open catalogs in multi-cloud and multi-data-lake environments.

Powerful tools and analytics

Quickly explore and experiment with vast amounts of data using best-in-class tools and the extensive analytic capabilities of ClearScape Analytics.

Users across the enterprise can effortlessly use best-in-class tools and the powerful AI/ML capabilities of ClearScape Analytics, to access and connect to unstructured, semi-structured and structured data sources, enabling collaboration on existing data products and reuse in a self-service environment, fostering innovation and efficiency.

  • Access to all analytics: Ability to streamline the data analytics process supporting a wide range of open APIs including ANSI SQL, Python, and R, allowing users to leverage their preferred tools and languages for advanced analytics.
  • Supports open APIs: Leverage open APIs to integrate with third-party tools and services including ingestion tools like Airbyte Cloud, Apache Airflow™, and dbt™ to accelerate building of data pipelines.
  • Powerful analytics: Leverages Teradata’s ClearScape Analytics to build and deploy powerful analytics, maximizing the value of your data.
  • In-database advanced analytics: Moves beyond reporting to real-time AI/ML with high-performance in-database analytics.

VantageCloud ClearScape Analytics

Customer success stories

Leading companies innovate with Teradata

Other workloads

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Related

Drive a flood of innovation with Teradata VantageCloud

  • Eliminate silos
  • Reveal new opportunities
  • Unlock more value